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introduction-to-conda-for-data-scientists

Introduction to Conda for (Data) Scientists

https://github.com/carpentries-incubator/introduction-to-conda-for-data-scientists

Science Score: 31.0%

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alpha carpentries-incubator conda data-science english lesson programming python r
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Introduction to Conda for (Data) Scientists

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  • Stars: 50
  • Watchers: 7
  • Forks: 42
  • Open Issues: 27
  • Releases: 0
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alpha carpentries-incubator conda data-science english lesson programming python r
Created over 6 years ago · Last pushed almost 3 years ago
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README.md

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Introduction to Conda for (Data) Scientists

This lesson is an introduction to Conda for (data) scientists. Conda is an open source package and environment management system that runs on Windows, macOS and Linux. Conda installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. While Conda was created for Python programs it can package and distribute software for any languages such as R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, FORTRAN. This lesson motivates the use of Conda as a development tool for building and sharing project specific software environments that facilitate reproducible (data) science workflows.

Contributing

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.

We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.

Please see the current list of issues for ideas for contributing to this repository. For making your contribution, we use the GitHub flow, which is nicely explained in the chapter Contributing to a Project in Pro Git by Scott Chacon. Look for the tag good_first_issue. This indicates that the mantainers will welcome a pull request fixing this issue.

Maintainer(s)

Current maintainers of this lesson are

  • David R. Pugh

Authors

A list of contributors to the lesson can be found in AUTHORS

Citation

To cite this lesson, please consult with CITATION

Owner

  • Name: carpentries-incubator
  • Login: carpentries-incubator
  • Kind: organization

Citation (CITATION) 

Please cite this lesson as:

David R. Pugh and James Tocknell.
Introduction to Conda for (Data) Scientists.
https://github.com/kaust-vislab/introduction-to-conda-for-data-scientists,
2019.

GitHub Events

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  • Issues event: 2
  • Watch event: 2
  • Issue comment event: 2
  • Fork event: 3
Last Year
  • Issues event: 2
  • Watch event: 2
  • Issue comment event: 2
  • Fork event: 3

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 36
  • Total pull requests: 47
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 9 days
  • Total issue authors: 12
  • Total pull request authors: 13
  • Average comments per issue: 1.42
  • Average comments per pull request: 0.66
  • Merged pull requests: 41
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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